鼻咽癌IMRT计划腮腺剂量预测模型建立与验证

目的 运用医学数据分析方法,建立鼻咽癌IMRT计划腮腺剂量预测模型并评估其准确性。方法 从鼻咽癌治疗数据库中选取50例相同射野角度的IMRT计划,获取腮腺DVH。自编软件计算腮腺中每个体素点到靶区边缘距离,统计并生成DTH。对DVH和DTH 数据进行主成分分析,并以DVH主成分为因变量,以DTH主成分、腮腺体积和靶区体积为自变量进行多元非线性回归,构建DVH预测模型。选取另外10例鼻咽癌IMRT患者,利用模型对腮腺剂量进行预测,并与原有IMRT计划设计的DVH进行比较以验证预测模型的可靠性和准确性。结果 DTH和DVH数据97%以上信息可以通过2、3个主成分进行表示。构建的腮腺DVH模型平均拟合误差为(0±3.5)%。10例验证病例显示腮腺预测DVH曲线形状与原TPS计划结果高度一致,平均偏差(-0.7±4.4)%,模型预测的准确性高达95%。结论 该模型能有效预测鼻咽癌IMRT计划腮腺剂量分布,可作为评估和验证治疗计划腮腺受量的质量保证工具。

Development and evaluation of a predicting model of dose volume histograms of parotid in NPC IMRT planning

Objective To study the mathematical predicting model of parotid DVH for the NPC IMRT planning, and its accuracy with the analysis of medical data. Methods 50 NPC radiotherapy treatment plans with same beam setup were chosen as sample data set, then their parotid DVHs and distance of voxels in the parotid to the target volumes were calculated with self-developed program to form the distance to target histogram ( DTHs);principal component analysis was applied to DVHs and DTHs to acquire their principal components ( PCs) ,and then nonlinear multiple variable regression was used to model correlation between the DTHs' PCs, parotids volume, PTVs and the DVHs. Another 10 plans were chosen as test data set to evaluate the efficacy and accuracy of the final model by comparing the DVHs calculated from our model with those calculated from the TPS. Results Up to 97% information of DTHs and DVHs can be represented with 2 to 3 components, the average fitting error of sample data set was (0±3. 5)%;in the 10 test cases, the shapes of DVH curves calculated from predicting model was highly the same with those from the TPS, the average modeling error was (-0.7± 4. 4)%,the accuracy of prediction was up 95%. Conclusions Our developed model can be used as a quality evaluating tool to predict and assure the dose distribution in parotid of NPC radiotherapy treatment planning effectively and accurately.